code: def get_intermixed_trials(trials, n, n_user_suggestions):
      """Filters the exploration trials for intermixed ensemble search."""
      return [
          trial
          for trial in trials
          if trial.id % n != 0 or trial.id <= n_user_suggestions
      ]
  
imports: import copy
  import enum
  import os
  from model_search import hparam
  from model_search.architecture import architecture_utils
  from model_search.architecture import tower
  from model_search.generators import base_tower_generator
  from model_search.metadata import trial
  from model_search.proto import distillation_spec_pb2
  from model_search.proto import ensembling_spec_pb2
  from model_search.proto import phoenix_spec_pb2
  import tensorflow.compat.v2
  from google.protobuf import text_format
label_desc: Use image node_id 2 for calling a global function with example usage: get_intermixed_trials(trials, n, n_user_suggestions) and returns: unknown